This article explores the journey of building SQLGenie, testing various Language Models (LLMs) to find the optimal solution for converting natural language to SQL queries
Can ChatGPT’s Agent Mode really handle agile team tasks? I tested real use cases to see what it can do, what it misses, and where it needs improvement.
Learn to build a secure GCP stack using a custom VPC, VM with private access, managed Cloud SQL PostgreSQL, and BigQuery for real-time federated queries.
Caching is an important technique for enhancing the performance and cost efficiency of diverse cloud native applications, including modern GenAI applications.
Prompt-based ETL uses LLMs to convert plain English into validated, schema-aware SQL, automating data transformation and enabling self-serve analytics.
Learn how to set up a zero-ETL integration from Amazon RDS for MySQL to Amazon Redshift using AWS CLI for real-time analytics without complex pipelines.
A virtual office assistant that streamlines everyday office duties — drafting emails, summarizing meetings, etc., driven by Generative AI and Firebase.
This article explores how teams are measuring energy usage, optimizing pipelines, and deploying eco-conscious applications using modern tools and techniques.
We share how we built a secure, compliant cloud on Azure for healthcare clients using native services like RBAC, CMK encryption, and policy enforcement.
Trustworthy ML needs more than dashboards — it relies on layered systems with monitoring, testing, and statistical tools to ensure reliable experimentation.
With the performance of VMs rapidly increasing, is weighing the benefits of containers running on VMs versus bare metal as straightforward as it used to be?
Unlock the potential of your data strategy. Discover how EMRFS and HDFS can optimize big data processing on Amazon EMR. Make an informed choice for success.
Real-time pipelines sound great — until you're buried in Kafka ops, broken joins, and silent delays. Here's what actually works, and when simpler tools win.